Predicting duration and cost of tunnelling projects is an essential factor in determining the
usefulness of a decision-making system. Therefore, research on the duration and cost of …

In recent times, the Internet of Medical Things (IoMT) is a new loomed technology, which has
been deliberated as a promising technology designed for various and broadly connected …

In recent years, many researchers have used various Machine Learning (ML) models that
have demonstrated the power of such methods on Intrusion Detection (ID) and thus helped …

Nowadays Artificial Intelligence (AI) and studies dedicated to this field are gaining much
attention worldwide. Although the growth of AI technology is perceived as a positive …

This study presents a new machine learning model for detecting malware in cloud
computing settings called Conjugate Self-Organizing Migration (CSOM), which is based on …

The proliferation of Internet usage and the wide range of military applications have prompted
scholars to consider the development of intelligent systems that can aid users and …

The purpose of the research is to identify the relevant aspects that will have a direct impact
on students learning behaviour'perceptions of the most popular organized university. The …

This study addresses the escalating challenges in designing practical Intrusion Detection
Systems (IDS) due to network traffic's growing intricacy and volume. A novel approach is …

This work aims to investigate different teaching methodologies for university students,
although legislation mandates that students with autism receive instruction linked to the …

This study's objective was to investigate the connections between staff perceptions of
equality and the levels of student contentment at private institutions in the Kurdistan area of …